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SAP
SAP

The best-run businesses run SAP.

AI Data Engineer - SAP-RPT Model Family (f/m/d)

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게시2개월 전
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필수 스킬

Python

SQL

AWS

GCP

Azure

Machine Learning

We help the world run better

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What you`ll do:

As an AI Data Engineer for the SAP-RPT model family, you will build and scale the technical foundations that power our AI innovations. You will develop high-quality, end-to-end data pipelines, execute complex data extractions, and engineer the high-value datasets essential for our foundation model research and engineering teams.

Bridging the technical gap between raw enterprise data and advanced AI research, you will focus on tooling and pipelines for curating and refining data assets to ensure maximum utility and performance. While working hands-on with cutting-edge processing tools, you will ensure every dataset adheres to SAP’s unwavering commitment to industry-leading compliance and data integrity. This is the ideal role for a highly technical, detail-oriented individual eager to work at the core of data engineering and contribute to the development of one of the few leading foundation models of European origin.

The Role:

Unique opportunity to contribute to the development of the SAP-RPT model family

Design, develop and manage tools and data pipelines that enable the processing of tabular data at scale

Extract, clean, enrich and analyze data from various sources, while ensuring its high quality. The data is subsequently processed, enriched, and utilized as training and benchmark data for the Tabular Foundation Model.

In close partnership with domain experts and application development teams (e.g. from SAP S/4HANA), understand and interpret data, metadata, and other development artifacts.

Work closely with data scientists to share data insights and specifics, enabling the model to be accurately tailored to enterprise data of SAP’s applications.

What you bring:

Master’s degree in Computer Science, Artificial Intelligence, or other relevant disciplines.

Generic understanding of SAP S/4HANA backend and data model (e.g., VDM, CDS Views, RAP, OData) as well as the Data Dictionary is required.

Advanced software engineering skills in Python and proficiency in SQL

Hands-on knowledge in cloud stack (AWS, GCP, or Azure) and handling large-scale data (>1M files; >10TB volume) is a plus

Experience with data modelling, ABAP, Machine Learning and/or Knowledge Graph technologies (e.g., RDF, SPARQL) is a plus.

2+ years of professional experience. Strong communication, coordination and collaboration skills, with the ability to work effectively in cross-cultural teams.

Meet your team:

SAP is uniquely positioned to lead the next wave of AI by infusing intelligence directly into the business processes that run the world. Our team’s mission is to develop Foundation Models for structured data, starting with the launch and continued evolution of SAP-RPT-1. As the first generation of our relational model portfolio, SAP-RPT-1 represents our commitment to pioneering new research in a domain where SAP’s expertise in enterprise data structures provides an unmatched competitive edge. We are looking for innovators to join us in this journey to develop next-generation models with even higher impact, bridging the gap between cutting-edge AI research and the complex, structured reality of global enterprise data.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 448376 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time

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SAP 소개

SAP

SAP

Public

The best-run businesses run SAP.

10,001+

직원 수

Walldorf

본사 위치

$157B

기업 가치

리뷰

10개 리뷰

3.8

10개 리뷰

워라밸

3.2

보상

3.5

문화

4.1

커리어

3.4

경영진

3.6

65%

지인 추천률

장점

Flexible hours and remote work options

Supportive management and team collaboration

Good benefits and training programs

단점

Work-life balance challenges and overwhelming workload

Fast-paced environment with unrealistic deadlines

Limited career advancement opportunities

연봉 정보

2개 데이터

Intern

L3

L4

L5

Intern · Data Scientist

0개 리포트

$68,766

총 연봉

기본급

-

주식

-

보너스

-

$58,453

$79,079

면접 후기

후기 5개

난이도

4.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 40%

부정 60%

면접 과정

1

Application Review

2

HR/Recruiter Screen

3

Phone/Technical Screen

4

Hiring Manager Interview

5

Onsite/Panel Interview

6

Technical Assessment

자주 나오는 질문

Technical Knowledge

Coding/Algorithm

Behavioral/STAR

Past Experience

SAP-Specific Technical Skills